Texture analysis of automatic graph cuts segmentations for detection of lung cancer recurrence after stereotactic radiotherapy

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 9417, Issue , 2015, Pages

  Mattonen, Sarah A ^a   Palma, David A ^a,b   Haasbeek, Cornelis J A ^c   Senan, Suresh ^c   Ward, Aaron D ^a  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

^b LONDON REGIONAL CANCER PROGRAM   (Canada)

^c VU UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Cancer therapy response assessment; Classification; Lung cancer; Quantitative imaging biomarkers; Radiation induced lung injury; Segmentation; Stereotactic radiotherapy; Texture analysis

Indexed keywords

BIOLOGICAL ORGANS; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; DIAGNOSIS; DISEASES; GRAPHIC METHODS; IMAGE SEGMENTATION; MEDICAL APPLICATIONS; MEDICAL COMPUTING; MEDICAL IMAGING; MOLECULAR IMAGING; RADIOTHERAPY; STATISTICAL METHODS; TUMORS;

CANCER THERAPY; LUNG CANCER; LUNG INJURY; QUANTITATIVE IMAGING; STEREOTACTIC RADIOTHERAPY; TEXTURE ANALYSIS;

COMPUTERIZED TOMOGRAPHY;

EID: 84943395976     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2081427     Document Type: Conference Paper

References (12)

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